Bringing empirical big data to evidence based qualitative knowledge in Healthcare

Resumen

The advent of the Technology and Information Age bore even more difficulties to a Health Sector already struggling to reduce costs and personnel. Society expects Healthcare to ensure the highest quality patient care with fewer resources: interruption or delay while accessing digital services; computing and information systems incapable of enduring new technological policies in the organization, process, and sharing of medical information, etcetera. Information is the most critical asset to meeting these goals, and even though Healthcare is sitting on piles of data sets, they are incapable of properly exploit theirs due to monetary constraints, limited computing systems, and inexperience in newer and more efficient technologies. Business Intelligence is a set of services and strategies that can model datasets into relevant, actionable intelligent information to assist and improve the users’ decision-making. Business Intelligence oriented to Healthcare can potentiate personalized Healthcare and improve the medical staff proficiency while saving costs and increasing the efficiency and effectiveness of healthcare procedures. Therefore, on the grounds of innovation, this Doctoral Program in Biomedical Engineering will convene in designing, developing, and validating a Pervasive Business Intelligence architecture oriented to Healthcare. An architecture capable of aggregating daily generated information and transforming it into contextualized relevant information to assist in the various patient clinical decisions. This architecture also needs to withstand the highly dynamic Healthcare environment. Nevertheless, a preliminary investigation is required to plan and prepare the Doctoral Research Program to design a feasible and practical solution successfully. This document will focus on reviewing and defining the objectives, most suitable research processes, and methods for this Doctoral Project.